Hi! I'm Adam, a Bayesian statistician primarily working with the Center for Forecasting and Outbreak Analytics at the CDC. Previously, I completed my PhD in statistics and machine learning at Imperial College London. For more information, and my blog, see athowes.github.io. To give an idea about my work, see:
Repository | Description |
---|---|
epidist |
An R package for estimating delay distributions accounting for censoring and truncation |
helios |
An R package for simulating the impact of far UVC interventions using an individual-based model |
thesis |
My thesis "Bayesian spatio-temporal methods for small-area estimation of HIV indicators" |
beyond-borders |
Evaluating the suitability of spatial adjacency for small-area estimation (arealutils ) |
multi-agyw |
Estimating HIV risk group proportions with a multinomial spatio-temporal model (multi.utils , UNAIDS) |
naomi-aghq |
Improving approximate Bayesian inference methods for extended latent Gaussian models (inf.utils ) |
exp-growth |
Time-series methods for disease-agnostic metagenomic environmental threat detection |
- I'm always looking to improve at writing clear, concise, efficient, reproducible code. Any suggestions, let me know! I predominantly program in R. Over time, I'd like to become multilinual by learning Python (and maybe Julia?): advice welcome.
- I'm currently reading: The Effective Manager and resources about technical management, see
reading
. - You may be interested in these
resources
I've found useful, or what I'm learning about viatutorial
.